NlpTools\Classifiers\MultinomialNBClassifier

class MultinomialNBClassifier implements ClassifierInterface

Use a multinomia NB model to classify a document

Methods

	__construct(FeatureFactoryInterface $ff, MultinomialNBModelInterface $m)
string	classify(array $classes, DocumentInterface $d) Compute the probability of $d belonging to each class successively and return that class that has the maximum probability.
float	getScore(string $class, DocumentInterface $d) Compute the log of the probability of the Document $d belonging to class $class.

FeatureFactoryInterface	$ff
MultinomialNBModelInterface	$m

Compute the probability of $d belonging to each class successively and return that class that has the maximum probability.

array	$classes	The classes from which to choose
DocumentInterface	$d	The document to classify

string

$class The class that has the maximum probability

Compute the log of the probability of the Document $d belonging to class $class.

We compute the log so that we can sum over the
logarithms instead of multiplying each probability.

string	$class	The class for which we are getting a score
DocumentInterface	$d	The document whose score we are getting

float

The log of the probability of $d belonging to $class